TY - GEN
T1 - Supply Chain Management and Operational Effectiveness a Transportation Case Study
AU - Netshakhuma, Euphodia
AU - Pretorius, Jan Harm C.
AU - Pretorius, Leon
N1 - Publisher Copyright:
© 2024 PICMET.
PY - 2024
Y1 - 2024
N2 - Operational efficiency in the rail engineering company is impacted by the performance of supply chain management. The procurement processes at state-owned entities within the realm of supply chain management are characterized by extended durations, mostly attributable to the legislative framework governing their procedures. The purpose of this study is to evaluate the existing supply chain management strategy TO maximise operational efficiency. The study will explore demand planning, supply chain efficiency, effectiveness, and inventory management solutions. The study focused on the rail Engineering case study company in the Republic of South Africa. The primary data involved semi-structured interviews with experienced participants who are managers and specialists in operation management and supply chain management in rolling stock maintenance in rail Engineering company and engaging in various techniques to improve the efficiency of operations. This study provides insight into the supply chain management techniques used in the rail industry to ensure operational efficiencies. Additional analysis may be required to develop cost-effective solutions for implementing a comprehensive demand planning and management department, including the automation of the entire process to seamlessly integrate suppliers. The rail operations are minimally researched, especially regarding their operational efficiency and practices in supply chain management. The results of this study appear to have applicability to other state-owned enterprises that also have strict requirements.
AB - Operational efficiency in the rail engineering company is impacted by the performance of supply chain management. The procurement processes at state-owned entities within the realm of supply chain management are characterized by extended durations, mostly attributable to the legislative framework governing their procedures. The purpose of this study is to evaluate the existing supply chain management strategy TO maximise operational efficiency. The study will explore demand planning, supply chain efficiency, effectiveness, and inventory management solutions. The study focused on the rail Engineering case study company in the Republic of South Africa. The primary data involved semi-structured interviews with experienced participants who are managers and specialists in operation management and supply chain management in rolling stock maintenance in rail Engineering company and engaging in various techniques to improve the efficiency of operations. This study provides insight into the supply chain management techniques used in the rail industry to ensure operational efficiencies. Additional analysis may be required to develop cost-effective solutions for implementing a comprehensive demand planning and management department, including the automation of the entire process to seamlessly integrate suppliers. The rail operations are minimally researched, especially regarding their operational efficiency and practices in supply chain management. The results of this study appear to have applicability to other state-owned enterprises that also have strict requirements.
UR - http://www.scopus.com/inward/record.url?scp=85204407777&partnerID=8YFLogxK
U2 - 10.23919/PICMET64035.2024.10653302
DO - 10.23919/PICMET64035.2024.10653302
M3 - Conference contribution
AN - SCOPUS:85204407777
T3 - PICMET 2024 - 2024 Portland International Conference on Management of Engineering and Technology: Technology Management in the Artificial Intelligence Era, Proceedings
BT - PICMET 2024 - 2024 Portland International Conference on Management of Engineering and Technology
A2 - Kocaoglu, Dundar F.
A2 - Anderson, Timothy R.
A2 - Kozanoglu, Dilek Cetindamar
A2 - Niwa, Kiyoshi
A2 - Steenhuis, Harm-Jan
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 Portland International Conference on Management of Engineering and Technology, PICMET 2024
Y2 - 4 August 2024 through 8 August 2024
ER -